Relation, Exploitation, or Function? Developing a Measurement Scale and Assessing Perceptions of Non-Profit/Business Partnerships
Bibliographic record
Abstract
This research examines non-profit organizations’ (NPOs) attitudes and intentions for engaging in business partnerships for their first time. A randomly selected, nationally representative survey of NPOs in the United States ( N = 533), Canada ( N = 399), and France ( N = 139) was conducted online. Scales were created to assess NPO perceptions along three dimensions: relational, avoiding exploitation, and functional. Scales created herein are shown to be a valid means of assessing partnership perceptions, and the research results replicated across these three developed countries. Results demonstrate that NPOs considering business partnerships for the first time are primarily seeking concrete, functional benefits. They approach business partnerships with optimism, expecting positive relationships with little fear of exploitation. This suggests an inclination to participate. It also suggests potential vulnerability at the hands of a stronger business partner.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".